Supermetrics' pricing page says $37 a month. Price out a working setup instead — four data sources, two destinations, daily refresh, a dozen ad accounts — and the number is $409. The distance between those two figures is why "Supermetrics alternatives" is a search term at all, and it's where an honest comparison has to start.
Full disclosure before we go: this site runs ConvRadar, and ConvRadar is on the list below. It does a much narrower job than Supermetrics, so for most people reading this the right answer is one of the other tools, and I'll say so where that's true.
What Supermetrics is, and what you're actually paying for
Supermetrics is the incumbent of marketing data pipes. It's been pulling numbers out of ad and analytics platforms since 2013 — 150+ sources, with GA4, Google Ads, Meta, TikTok, LinkedIn, and HubSpot at the center — and landing them in Google Sheets, Excel, Looker Studio, Power BI, BigQuery, Snowflake. If a BI tool or a warehouse exists, Supermetrics ships a path into it. The connector library is the most mature in the category, and the ecosystem is the reason nobody ever got fired for buying it.
The trouble is that the advertised price and the working price live in different neighborhoods.
The $37 Starter plan (billed annually) buys three data sources, one destination, one user, and weekly refresh. Weekly. A dashboard that updates every Monday is a museum exhibit. The first tier with daily refresh is Growth at $177 a month. A second destination — say the client reports live in Looker Studio but your analyst works from Sheets — is $177 more. Each ad account past the included seven adds $11. An extra user runs $37–99. Hourly refresh doesn't exist below the ~$460 Pro tier.
Run the arithmetic on a stack a small agency would call normal: GA4, Google Ads, Meta, and LinkedIn as sources, Looker Studio plus Sheets as destinations, numbers no older than yesterday, twelve ad accounts across clients. That's Growth at $177, the second destination at $177, five extra ad accounts at $55. Total: $409 a month, eleven times the number on the page. Eleven is not a rounding error.
None of this is hidden. It's itemized right on the pricing page. But the reviews tell you how it feels in practice: the most common complaint on G2 is price, and one customer since 2019 describes the new packaging tripling their bill for the same usage. The invoices are honest. They're just much larger than the number that got you in the door.
Did the March 2026 MCP change anything?
One update most alternatives listicles haven't caught up with: in March 2026 Supermetrics shipped its own MCP server. Point Claude, ChatGPT, or n8n at it and your ad and analytics data answers questions in plain language, pulled through live API calls with per-user OAuth. It's a proper implementation, not a press release.
So if the reason you were leaving is "I want my numbers inside the AI I already use" — check your plan before you migrate anything. That door is now open at Supermetrics too. The MCP ships across all current packages, row-limited by tier (50,000 rows on Starter, 250,000 on Growth); older legacy subscriptions may still need the Supermetrics API added to qualify.
And that's the part the MCP doesn't change: the bill. It also doesn't add an analysis layer. Like every pipe in this category, it hands your AI raw numbers and leaves the diagnosis to you. If price is why you're shopping, the MCP is a reason to renegotiate. It isn't a reason to stay.
Where to go depends on why you're leaving
Three complaints drive almost every switch, and they sort the Supermetrics competitors into three different shelves.
The like-for-like pipes
If the job really is "many sources, scheduled refresh, into Sheets and BI and a warehouse," you want the same category with saner math.
Coupler.io is the first stop. Its Starter plan is $24 a month with daily refresh — the refresh Supermetrics holds until $177 — and there's a free tier for testing the fit. The interface is cleaner than Supermetrics' aging one; the trade is a younger ecosystem on the enterprise-destination side. I've written a full breakdown of the Coupler.io landscape separately.
Windsor.ai undercuts on refresh frequency: hourly and 15-minute schedules on its lower tiers, where Supermetrics wants an enterprise conversation. 325+ connectors, and its own MCP layer since 2025. The Windsor.ai comparison covers where it wins and loses.
Funnel.io sits mid-market: a data hub with governance tooling for teams that outgrew self-serve but aren't ready for a sales-led contract. Improvado is the enterprise pick: talk-to-sales pricing, but real attribution modelling and compliance support, shaped for 50+ account operations. Adverity plays the same league from the European side. And Dataslayer at $29 is another self-serve option if Sheets and Looker Studio are your only destinations.
Airbyte is the open-source lever. Self-hosted it's free, with 600+ connectors, and for a team with an engineer to spare it's the cheapest serious pipe in existence. It is also a data-engineering project, not a marketing tool, and it will feel like one.
One caveat cutting the other way: if you're a warehouse-native org on Growth or above, actually using the breadth — the 150 connectors, the destination ecosystem, the schema stability — Supermetrics is often still the right answer. Incumbents get to be incumbents for a reason, and switching costs are real money too.
The flat-fee reporting tools
A lot of Supermetrics invoices are really reporting bills in disguise. If everything you pipe ends up in a client dashboard, you don't need a better pipe — you need reporting with pricing that doesn't multiply.
Porter Metrics starts at $12.49 a month with flat, predictable tiers. Two Minute Reports plays the same game for agencies running many small clients. AgencyAnalytics and Whatagraph add white-label portals and scorecards on top. None of these matches Supermetrics on raw integration depth, and none of them needs to: they replace the reason you bought it.
The narrow specialist
The third complaint is quieter and more common than it looks: you bought a 150-connector platform and you only ever open one connector. GA4 goes in, a Looker Studio page comes out, and every Monday you stare at it wondering why conversion moved.
If that's the actual job, the alternative isn't another pipe. It's ConvRadar. GA4 only, by design, plugged straight into Claude or ChatGPT through a hosted MCP server, with a diagnostic layer instead of a dashboard: funnel-drop analysis, anomaly detection across every dimension at once, traffic-quality scoring, and a hypothesis library that turns a finding into a ranked list of things to test. Ask "why did mobile conversion drop last week?" and the answer names the step (begin_checkout → purchase, down from 64% to 31%), the segment (iOS Safari), and what to test first — not a chart you're left to interpret. The 90-day backfill means comparisons work in your first chat, and setup runs about five minutes in the browser, no service account.
It's free during the open beta (email signup, no card), then $9.99 a month. And to keep the disclosure honest: it is not a Supermetrics replacement for anyone who genuinely needs Meta, TikTok, and warehouse pipes. It replaces Supermetrics only where the honest version of "I need a data platform" was "I need GA4 to explain itself." If you'd rather assemble that route yourself, Google's own GA4 MCP server is free and open source — it just needs a developer and a terminal.
Side-by-side
| Supermetrics | Coupler.io | Windsor.ai | Porter Metrics | ConvRadar | |
|---|---|---|---|---|---|
| Source coverage | 150+ | 230+ | 325+ | ~20, reporting-first | GA4 only |
| Destinations | Sheets, Excel, BI, warehouses | Sheets, BI, warehouses | Sheets, BI, warehouses | Looker Studio, Sheets | AI chat (Claude, ChatGPT) |
| Daily refresh from | $177 (Growth) | $24 (Starter) | ~$23 entry | All plans | Included (daily + on-demand) |
| Extra destination | +$177/mo | Included by tier | Included by tier | Flat | n/a |
| AI/MCP support | Supermetrics MCP (Mar 2026, row-limited) | On 2026 roadmap | Windsor MCP (2025) | None | Native MCP, hosted |
| Diagnostic layer | None | None | None | None | Funnel, anomaly, hypothesis library |
| Free tier | 14-day trial | Yes — 100 rows, manual | No | Free plan | Yes — full, open beta |
| Entry price | $37/mo (weekly refresh) | $24/mo | ~$23/mo | $12.49/mo | Free (beta), then $9.99/mo |
| Best for | BI-mature, warehouse-native orgs | Small teams piping to Sheets/BI | Refresh frequency on a budget | Cheap client reporting | Conversion diagnostics on GA4 |
How to choose
Route by the complaint, not the brand.
If the invoice is the problem and the job is real multi-source piping, price your exact config — sources, destinations, refresh, accounts — at Coupler and Windsor. One of the two almost always lands under half the Supermetrics quote, and which one depends on whether your pain is destinations (Coupler) or refresh frequency (Windsor).
If the invoice is a reporting bill in disguise, stop paying pipe prices for it. Porter Metrics or Two Minute Reports covers agency dashboards at a tenth of the cost, and the piping they do is enough for the job.
If you're enterprise — governance, attribution, 50+ accounts — you're choosing between staying and Improvado, and it's a procurement decision, not a blog-post decision.
And if you're a single-store or single-site team whose only real question is "what is GA4 telling me and what do I do about it," skip the category. A specialist answers that question directly for $9.99, and you can add a real pipe later if the breadth need ever materializes. It usually doesn't.
FAQ
What's the best Supermetrics alternative? There isn't one — there's a best alternative per job. Coupler.io for a cheaper like-for-like pipe, Windsor.ai for frequent refresh on a budget, Porter Metrics for flat-fee client reporting, Improvado for enterprise, ConvRadar for GA4 diagnosis inside Claude or ChatGPT. Anyone naming a single winner is usually selling it.
What's the cheapest Supermetrics alternative? Depends on the job. For reporting: Porter Metrics at $12.49/month. For a multi-source pipe: Windsor.ai (~$23) or Coupler.io ($24). For free: Airbyte self-hosted, if you have an engineer. For the GA4-only diagnostic job: ConvRadar, free in the open beta and $9.99/month after.
Supermetrics vs Coupler.io — which is better? For most small and mid-size teams, Coupler wins on price structure: daily refresh at $24 versus $177, destinations included by tier instead of billed at $177 each. Supermetrics wins on connector maturity and enterprise destinations. If you're not warehouse-native, Coupler is the safer default; the Coupler.io comparison has the full picture.
Supermetrics vs Windsor.ai — which is better? Windsor's case is refresh frequency: hourly and 15-minute schedules on low tiers, where Supermetrics gates hourly behind ~$460+. Supermetrics' case is ecosystem depth and stability. Price-sensitive agencies tend to land on Windsor; the Windsor.ai comparison goes deeper.
Does Supermetrics work with Claude and ChatGPT? Yes, since March 2026, through the Supermetrics MCP. It's included in current packages with row limits by tier; legacy subscriptions may need the Supermetrics API added. If GA4 is the only source you need in your AI, a hosted GA4 MCP server does that job without the platform bill.
Is Supermetrics worth the money? For a BI-mature org already moving multi-platform data into a warehouse, on Growth or Enterprise, using the breadth: yes, and most alternatives lists won't tell you that. For a team on Starter discovering that weekly refresh is useless, or a single-site team that only ever opens the GA4 connector: no — you're paying platform prices for a fraction of the platform.
Whatever you pick, price the config, not the plan. The gap between those two numbers is the whole story of this category.